A technique for improved stability of adaptive feedforward controllers without detailed uncertainty measurements

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

Model errors in adaptive controllers for reduction of broadband noise and vibrations may lead to unstable systems or increased error signals. Previous research on active structures with small damping has shown that the addition of a low-authority controller which increases damping in the system may lead to improved performance of an adaptive, high-authority controller. Other researchers have suggested to use frequency dependent regularization based on measured uncertainties. In this paper an alternative method is presented that avoids the disadvantages of these methods namely the additional complex hardware, and the need to obtain detailed information of the uncertainties. An analysis is made of an adaptive feedforward controller in which a difference exists between the secondary path and the model as used in the controller. The real parts of the eigenvalues that determine the stability of the system are expressed in terms of the amount of uncertainty and the singular values of the secondary path. Modifications of the feedforward control scheme are suggested that aim to improve performance without requiring detailed uncertainty measurements.
Original languageUndefined
Pages (from-to)064003
Number of pages12
JournalSmart materials & structures
Volume21
Issue number6
DOIs
Publication statusPublished - 30 Jan 2012

Keywords

  • PACS-43.40.Vn
  • EWI-21489
  • METIS-296035
  • IR-82686
  • PACS-43.50.Ki

Cite this

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title = "A technique for improved stability of adaptive feedforward controllers without detailed uncertainty measurements",
abstract = "Model errors in adaptive controllers for reduction of broadband noise and vibrations may lead to unstable systems or increased error signals. Previous research on active structures with small damping has shown that the addition of a low-authority controller which increases damping in the system may lead to improved performance of an adaptive, high-authority controller. Other researchers have suggested to use frequency dependent regularization based on measured uncertainties. In this paper an alternative method is presented that avoids the disadvantages of these methods namely the additional complex hardware, and the need to obtain detailed information of the uncertainties. An analysis is made of an adaptive feedforward controller in which a difference exists between the secondary path and the model as used in the controller. The real parts of the eigenvalues that determine the stability of the system are expressed in terms of the amount of uncertainty and the singular values of the secondary path. Modifications of the feedforward control scheme are suggested that aim to improve performance without requiring detailed uncertainty measurements.",
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A technique for improved stability of adaptive feedforward controllers without detailed uncertainty measurements. / Berkhoff, Arthur P.

In: Smart materials & structures, Vol. 21, No. 6, 30.01.2012, p. 064003.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - A technique for improved stability of adaptive feedforward controllers without detailed uncertainty measurements

AU - Berkhoff, Arthur P.

N1 - 10.1088/0964-1726/21/6/064003

PY - 2012/1/30

Y1 - 2012/1/30

N2 - Model errors in adaptive controllers for reduction of broadband noise and vibrations may lead to unstable systems or increased error signals. Previous research on active structures with small damping has shown that the addition of a low-authority controller which increases damping in the system may lead to improved performance of an adaptive, high-authority controller. Other researchers have suggested to use frequency dependent regularization based on measured uncertainties. In this paper an alternative method is presented that avoids the disadvantages of these methods namely the additional complex hardware, and the need to obtain detailed information of the uncertainties. An analysis is made of an adaptive feedforward controller in which a difference exists between the secondary path and the model as used in the controller. The real parts of the eigenvalues that determine the stability of the system are expressed in terms of the amount of uncertainty and the singular values of the secondary path. Modifications of the feedforward control scheme are suggested that aim to improve performance without requiring detailed uncertainty measurements.

AB - Model errors in adaptive controllers for reduction of broadband noise and vibrations may lead to unstable systems or increased error signals. Previous research on active structures with small damping has shown that the addition of a low-authority controller which increases damping in the system may lead to improved performance of an adaptive, high-authority controller. Other researchers have suggested to use frequency dependent regularization based on measured uncertainties. In this paper an alternative method is presented that avoids the disadvantages of these methods namely the additional complex hardware, and the need to obtain detailed information of the uncertainties. An analysis is made of an adaptive feedforward controller in which a difference exists between the secondary path and the model as used in the controller. The real parts of the eigenvalues that determine the stability of the system are expressed in terms of the amount of uncertainty and the singular values of the secondary path. Modifications of the feedforward control scheme are suggested that aim to improve performance without requiring detailed uncertainty measurements.

KW - PACS-43.40.Vn

KW - EWI-21489

KW - METIS-296035

KW - IR-82686

KW - PACS-43.50.Ki

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